Publications

Book

• [1] Wang, H. S. and Cheng, H. M. (2020). Business Data Analytics and its Applications with R.
  Renmin University of China Press.

Refereed Journal Articles

• [2] Zhang, Z. Y., Yan, C., Cheng, H. M., and Liu, X., (2022). Joint non-negative matrix factorization for community structures detection in signed networks. Journal of Complex Networks.
• [3] Yu, J., Cheng, H. M., Zhang, J. N., Zhong, W. X., Ye, J., Song, W. Z., and Ma, P. (2021). CONGO2: Colored-node graph square model for anomaly detection and localization in smart grids. IEEE Internet of Things, in press.
• [4] Cheng, H. M., Yu, J., Wang, Z., Ma, P., Guo, C. L., Wang, B., Zhong, W. X., and Xu, B. Q. (2021). Details of single-molecule force spectroscopy data decoded by network-based automatic clustering algorithm. Journal of Physical Chemistry Part B, 125(34), 9660-9667. (Our work is featured on the cover).
• [5] Cheng, H. M., Wang, Y., Ma, P., and Murdie, A. (2021). Communities and brokers: how the transnational advocacy network simultaneously provides social power and exacerbates global inequalities. International Studies Quarterly, 65(3), 724–38.
• [6] Wang, Y., Meagher, R. B., Ambati, S., Cheng, H. M., Ma, P., and Phillips, B. G. (2021). Patients with obstructive sleep apnea have altered levels of four cytokines associated with cardiovascular and kidney disease, but near normal levels with airways therapy. Nature and Science of Sleep, 13, 457—466.
• [7] Zhang, J. Y., Zhu, H. L., Chen, Y. K., Yang, C. G., Cheng, H. M., Li, Y., Zhong, W. X., and Wang, F. (2021). Ensemble machine learning approach for screening of coronary heart disease based on echocardiography and risk factors. BMC Medical Informatics and Decision Making, 21(1), 1-13.
• [8] Chang, Z. H., Zhang, Z. Y., Cheng, H. M., Yan, C., and Yin, X. J. (2021). Optimizing modularity with nonnegative matrix factorization. International Journal of Modern Physics C, 2150142.
• [9] Huang, L.C, Yeung, W., Wang, Y., Cheng, H. M., Venkat, A., Li, S., Ma, P., Rasheed, K., and Kannan, N. (2020). Quantitative structure-mutation-activity relationship tests (QSMART) model for protein kinase inhibitor response prediction. BMC Bioinformatics, 21(1), 1-22.
• [10] Ning, Y. Z., Liu, X., Cheng, H. M., and Zhang, Z. Y. (2020). Effects of social network structures and behavioral responses on the spread of infectious diseases. Physica A: Statistical Mechanics and its Applications, 539, 122907.
• [11] Cheng, H. M., Li, S. Y., Ning, Y. Z., Chen, X., Pan, R., and Zhang, Z. Y. (2019). Analysis on utilization of Beijing local roads using taxi GPS data. Physica A: Statistical Mechanics and its Applications, 545, 123570.
• [12] Wu, Z. Q., Cheng, H. M. , Shan, F., Ying, X. J., Miao, R. l., Zhang, Z. Y., Li, Z. Y., and Ji, J. F. (2019). In-hospital mortality risk model of gastric cancer surgery: analysis of a nationwide institutional-level database with 94,277 Chinese patients. Frontiers in Oncology, 9, 846. (Joint-first Author).
• [13] Liu, X, Cheng, H. M., and Zhang, Z. Y. (2019). Evaluation of community detection methods. IEEE Transactions on Knowledge and Data Engineering, 32, 1736 - 1746.
• [14] Francis, M., Cheng, H. M., Ma, P., and Grider, A. (2019). Genomic characterization of the zinc transcriptional regulatory element reveals potential functional roles of ZNF658. Biological Trace Element Research, 192(2), 83-90.
• [15] Zhang, Z. Y., Gai, Y., Wang, Y. F., Cheng, H. M., and Liu, X. (2018). On equivalence of likelihood maximization of stochastic block model and constrained nonnegative matrix factorization. Physica A: Statistical Mechanics and its Applications, 503, 687-697.
• [16] Cheng, H. M., Ning, Y. Z., Yin, Z., Yan, C., Liu, X., and Zhang, Z. Y. (2018). Community detection in complex networks using link prediction. Modern Physics Letters B, 32, 1850004.
• [17] Cheng, H. M., Ning, Y. Z., Ma, X., Liu, X., and Zhang, Z. Y. (2017). Effectiveness of rapid rail transit system in Beijing. PLOS One, 12, e0180075.
• [18] You, T., Cheng, H. M., Ning, Y. Z., Shia, B. C., and Zhang, Z. Y. (2016). Community detection in complex networks using density-based clustering algorithm and manifold learning. Physica A: Statistical Mechanics and its Applications, 464, 221-230.

Under Review or In Preparation

• [19] Cheng, H. M., Ma, T., and Zhong, W. X. (2022). Med-Reader: A query-based multisource learner using complex network. Submitted to Nature Protocols.
• [20] Cheng, H. M., Yu, J., Ma, P., and Zhong, W. X. (2022). Network ANOVA and riemannian manifold for statistical physics. Submitted to Journal of American Statistical Association.
• [21] Cheng, H. M., Wu, S. S., Yu, J., Lu, H. R., Zhong, W. X. (2022). Graphon convolutional network: A highly efficient learner for random graph. Submitted to ICML.
• [22] Cheng, H. M., Yu, J., Zhang, M. R., Ma, P., and Zhong, W. X. (2022). Toward a network analysis of variance. Submitted to Journal of American Statistical Association.
• [23] Cheng, H. M., Ma, P., and Zhong, W. X. (2022). Variable screening for unlabeled networks and Euclidean predictors in Riemannian geometry. In preparation.
• [24] Cai, J. Z., Cheng, H. M., Zhong, W. X., Shen, Y., and Ma, P. (2021). Pseudo-Time reconstruction to infer transmission direction for COVID-19. In preparation.
• [25] Wu, S. S., Cheng, H. M., Zhong, W. X., Shen, Y., and Ma, P. (2021). Personalized infection risk Score Prediction based on a COVID-19 Population-based Contact Tracing Network. In preparation.
• [26] Lu, H. R., Cheng, H. M., Wang, Y., Wang, X. D., Xie, Y. G., Yan, H., Zhong, W. X., and Ma, P. (2021). Smoothing Spline with Phase Transition. Submitted to Annals of Applied Statistics.
• [27] Meng, C., Ke, Y., Zhang, J. Y., Cheng, H. M., Cheng, Y. K., Zhong, W. X., and Ma, P. (2020). Variable selection for high-dimensional optimal transport problems using random permutation. Submitted to Journal of American Statistical Association.
• [28] He, Y., Martinez, L., Ge, Y., Feng, Y., Tan, J. B., Westbrook, A., Li, C. W., Cheng, W., Ling, F., Cheng, H. M., Wu, S. S., Zhong, W. X., Handel, A., Huang, H., Sun, J. M., and Shen, Y (2021). Social Mixing and Network Characteristics of COVID-19 Patients Before and After Widespread Interventions: A Population-based Study. Submitted to Nature Human Behaviour.

Creative Contributions Other Than Formal Publications

• [1] BKF: A new tool to help expedite literature review by knowledge fusion.